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Lawson L. S. Wong
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2020 – today
- 2024
- [j5]Linfeng Zhao, Lawson L. S. Wong:
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps. RLJ 5: 2359-2372 (2024) - [j4]Linfeng Zhao, Hongyu Li, Taskin Padir, Huaizu Jiang, Lawson L. S. Wong:
-Equivariant Graph Planning for Navigation. IEEE Robotics Autom. Lett. 9(4): 3371-3378 (2024) - [c35]Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L. S. Wong:
Hierarchical RL-Guided Large-scale Navigation of a Snake Robot. AIM 2024: 1347-1352 - [c34]Chengguang Xu, Christopher Amato, Lawson L. S. Wong:
Robot Navigation in Unseen Environments using Coarse Maps. ICRA 2024: 2932-2938 - [c33]Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L. S. Wong:
Snake Robot with Tactile Perception Navigates on Large-scale Challenging Terrain. ICRA 2024: 5090-5096 - [c32]Shuo Jiang, Lawson L. S. Wong:
A Hierarchical Framework for Robot Safety using Whole-body Tactile Sensors. ICRA 2024: 8021-8028 - [i27]Shuo Jiang, Jinkun Zhang, Lawson L. S. Wong:
Robot Body Schema Learning from Full-body Extero/Proprioception Sensors. CoRR abs/2402.18675 (2024) - [i26]Seth Pate, Lawson L. S. Wong:
The Wallpaper is Ugly: Indoor Localization using Vision and Language. CoRR abs/2410.03900 (2024) - [i25]Ondrej Biza, Thomas Weng, Lingfeng Sun, Karl Schmeckpeper, Tarik Kelestemur, Yecheng Jason Ma, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong:
On-Robot Reinforcement Learning with Goal-Contrastive Rewards. CoRR abs/2410.19989 (2024) - 2023
- [c31]Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt:
One-shot Imitation Learning via Interaction Warping. CoRL 2023: 2519-2536 - [c30]Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt:
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. ICLR 2023 - [c29]Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong:
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation. ICLR 2023 - [c28]Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong:
Integrating Symmetry into Differentiable Planning with Steerable Convolutions. ICLR 2023 - [c27]Jung Yeon Park, Lawson L. S. Wong, Robin Walters:
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. NeurIPS 2023 - [c26]Seth Pate, Lawson L. S. Wong:
"The wallpaper is ugly": Indoor Localization using Vision and Language. RO-MAN 2023: 1558-1564 - [i24]Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt:
One-shot Imitation Learning via Interaction Warping. CoRR abs/2306.12392 (2023) - [i23]Linfeng Zhao, Owen Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L. S. Wong:
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? CoRR abs/2307.08226 (2023) - [i22]Linfeng Zhao, Hongyu Li, Taskin Padir, Huaizu Jiang, Lawson L. S. Wong:
E(2)-Equivariant Graph Planning for Navigation. CoRR abs/2309.13043 (2023) - [i21]Chengguang Xu, Hieu T. Nguyen, Christopher Amato, Lawson L. S. Wong:
Vision and Language Navigation in the Real World via Online Visual Language Mapping. CoRR abs/2310.10822 (2023) - [i20]Jung Yeon Park, Lawson L. S. Wong, Robin Walters:
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. CoRR abs/2310.19589 (2023) - [i19]Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L. S. Wong:
Hierarchical RL-Guided Large-scale Navigation of a Snake Robot. CoRR abs/2312.03223 (2023) - [i18]Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L. S. Wong:
Snake Robot with Tactile Perception Navigates on Large-scale Challenging Terrain. CoRR abs/2312.03225 (2023) - 2022
- [c25]Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L. S. Wong:
Toward Compositional Generalization in Object-Oriented World Modeling. ICML 2022: 26841-26864 - [c24]Shuo Jiang, Lawson L. S. Wong:
Active Tactile Exploration using Shape-Dependent Reinforcement Learning. IROS 2022: 8995-9002 - [c23]Jung Yeon Park, Lawson L. S. Wong:
Robust Imitation of a Few Demonstrations with a Backwards Model. NeurIPS 2022 - [i17]Ondrej Biza, Thomas Kipf, David Klee, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong:
Factored World Models for Zero-Shot Generalization in Robotic Manipulation. CoRR abs/2202.05333 (2022) - [i16]Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong, Thomas Kipf:
Binding Actions to Objects in World Models. CoRR abs/2204.13022 (2022) - [i15]Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L. S. Wong:
Toward Compositional Generalization in Object-Oriented World Modeling. CoRR abs/2204.13661 (2022) - [i14]Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong:
Integrating Symmetry into Differentiable Planning. CoRR abs/2206.03674 (2022) - [i13]Jung Yeon Park, Lawson L. S. Wong:
Robust Imitation of a Few Demonstrations with a Backwards Model. CoRR abs/2210.09337 (2022) - [i12]Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong:
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation. CoRR abs/2210.13542 (2022) - [i11]Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt:
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. CoRR abs/2211.09231 (2022) - 2021
- [c22]Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong:
Action Priors for Large Action Spaces in Robotics. AAMAS 2021: 205-213 - [i10]Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong:
Action Priors for Large Action Spaces in Robotics. CoRR abs/2101.04178 (2021) - [i9]Chengguang Xu, Christopher Amato, Lawson L. S. Wong:
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps. CoRR abs/2106.03665 (2021) - [i8]David Abel, Cameron Allen, Dilip Arumugam, D. Ellis Hershkowitz, Michael L. Littman, Lawson L. S. Wong:
Bad-Policy Density: A Measure of Reinforcement Learning Hardness. CoRR abs/2110.03424 (2021) - [i7]Seth Pate, Wei Xu, Ziyi Yang, Maxwell Love, Siddarth Ganguri, Lawson L. S. Wong:
Natural Language for Human-Robot Collaboration: Problems Beyond Language Grounding. CoRR abs/2110.04441 (2021) - 2020
- [c21]Chengguang Xu, Christopher Amato, Lawson L. S. Wong:
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps. CoRL 2020: 1971-1991 - [c20]Fan Xie, Alexander Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson L. S. Wong, Rose Yu:
Deep Imitation Learning for Bimanual Robotic Manipulation. NeurIPS 2020 - [i6]Ondrej Biza, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong:
Learning discrete state abstractions with deep variational inference. CoRR abs/2003.04300 (2020) - [i5]Fan Xie, Alexander Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson L. S. Wong, Rose Yu:
Deep Imitation Learning for Bimanual Robotic Manipulation. CoRR abs/2010.05134 (2020)
2010 – 2019
- 2019
- [j3]Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Edward C. Williams, Mina Rhee, Lawson L. S. Wong, Stefanie Tellex:
Grounding natural language instructions to semantic goal representations for abstraction and generalization. Auton. Robots 43(2): 449-468 (2019) - [c19]David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong:
State Abstraction as Compression in Apprenticeship Learning. AAAI 2019: 3134-3142 - [c18]Arthur Wandzel, Yoonseon Oh, Michael Fishman, Nishanth Kumar, Lawson L. S. Wong, Stefanie Tellex:
Multi-Object Search using Object-Oriented POMDPs. ICRA 2019: 7194-7200 - 2018
- [c17]Lawson L. S. Wong:
Learning Abstractions by Transferring Abstract Policies to Grounded State Spaces. AAAI Spring Symposia 2018 - [c16]Nakul Gopalan, Dilip Arumugam, Lawson L. S. Wong, Stefanie Tellex:
Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications. Robotics: Science and Systems 2018 - 2017
- [j2]Lawson L. S. Wong:
Learning the state of the world: object-based world modeling for mobile manipulation robots. AI Matters 3(1): 21-22 (2017) - [c15]Siddharth Karamcheti, Edward C. Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex:
A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions. RoboNLP@ACL 2017: 67-75 - [c14]Nakul Gopalan, Marie desJardins, Michael L. Littman, James MacGlashan, Shawn Squire, Stefanie Tellex, John Winder, Lawson L. S. Wong:
Planning with Abstract Markov Decision Processes. ICAPS 2017: 480-488 - [c13]David Whitney, Eric Rosen, James MacGlashan, Lawson L. S. Wong, Stefanie Tellex:
Reducing errors in object-fetching interactions through social feedback. ICRA 2017: 1006-1013 - [c12]Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex:
Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities. Robotics: Science and Systems 2017 - [i4]Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex:
Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities. CoRR abs/1704.06616 (2017) - [i3]Christopher Grimm, Dilip Arumugam, Siddharth Karamcheti, David Abel, Lawson L. S. Wong, Michael L. Littman:
Latent Attention Networks. CoRR abs/1706.00536 (2017) - [i2]Siddharth Karamcheti, Edward C. Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex:
A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions. CoRR abs/1707.08668 (2017) - 2016
- [b1]Lawson L. S. Wong:
Object-based world modeling for mobile-manipulation robots. Massachusetts Institute of Technology, Cambridge, MA, USA, 2016 - [c11]Xinkun Nie, Lawson L. S. Wong, Leslie Pack Kaelbling:
Searching for physical objects in partially known environments. ICRA 2016: 5403-5410 - [c10]Lawson L. S. Wong, Thanard Kurutach, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures. IJCAI 2016: 3513-3521 - 2015
- [j1]Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Data association for semantic world modeling from partial views. Int. J. Robotics Res. 34(7): 1064-1082 (2015) - [i1]Lawson L. S. Wong, Thanard Kurutach, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Object-based World Modeling in Semi-Static Environments with Dependent Dirichlet-Process Mixtures. CoRR abs/1512.00573 (2015) - 2014
- [c9]Lawson L. S. Wong:
Living and Searching in the World: Object-Based State Estimation for Mobile Robots. AAAI 2014: 3085-3086 - [c8]Lawson L. S. Wong:
A Model Attention and Selection Framework for Estimation of Many Variables, with Applications to Estimating Object States in Large Spatial Environments. AAAI 2014: 3140-3141 - [c7]Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Not seeing is also believing: Combining object and metric spatial information. ICRA 2014: 1253-1260 - 2013
- [c6]Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Manipulation-based active search for occluded objects. ICRA 2013: 2814-2819 - [c5]Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Data Association for Semantic World Modeling from Partial Views. ISRR 2013: 431-448 - 2012
- [c4]Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Collision-free state estimation. ICRA 2012: 223-228
2000 – 2009
- 2008
- [c3]Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng:
Learning Grasp Strategies with Partial Shape Information. AAAI 2008: 1491-1494 - 2007
- [c2]Ashutosh Saxena, Lawson L. S. Wong, Morgan Quigley, Andrew Y. Ng:
A Vision-Based System for Grasping Novel Objects in Cluttered Environments. ISRR 2007: 337-348 - 2006
- [c1]Steven C. H. Hoi, Lawson L. S. Wong, Albert Lyu:
Chinese University of Hong Kong at TRECVID 2006: Shot Boundary Detection and Video Search. TRECVID 2006
Coauthor Index
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